A possible converter to denoise the images of exoplanet candidates through machine learning techniques

Author:

Chintarungruangchai Pattana,Jiang Ing-GueyORCID,Hashimoto Jun,Komatsu Yu,Konishi Mihoko

Funder

European Southern Observatory

National Science and Technology Council

Publisher

Elsevier BV

Subject

Space and Planetary Science,Astronomy and Astrophysics,Instrumentation

Reference49 articles.

1. PYNPOINT: an image processing package for finding exoplanets;Amara;Mon. Not. R. Astron. Soc.,2012

2. SPHERE: the exoplanet imager for the very large telescope;Beuzit;Astron. Astrophys.,2019

3. ML-helio: An emerging community at the intersection between heliophysics and machine learning;Camporeale;J. Geophys. Res.,2020

4. VizieR online data catalog: NIR spectrum of exoplanet HIP 65426b (Chauvin+, 2017);Chauvin,2017

5. Galaxy morphological classification catalogue of the Dark Energy Survey Year 3 data with convolutional neural networks;Cheng;Mon. Not. R. Astron. Soc.,2021

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